Hugging Face Hub and KerasHub integration enables loading Transformers models into KerasHub across TF/JAX/PyTorch

AI Impact Summary

This release enables a shared model save format between the Transformers ecosystem and KerasHub, allowing KerasHub to load Hugging Face Transformer checkpoints across TensorFlow, JAX, and PyTorch backends. It broadens access from Hugging Face's vast catalog to KerasHub users, starting with Gemma, Llama3, and PaliGemma families and an initial batch of 33 models, with plans to expand support to more architectures. Practically, engineers can load HF checkpoints with simple code (e.g., Llama3CausalLM.from_preset('hf://NousResearch/Hermes-2-Pro-Llama-3-8B')) and deploy across frameworks, enabling potential TFLite serving or JAX-based research; ensure Keras is at 3.3.3+ to use the integration.